Triple

T1065619
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Connelly E23202 entity
Predicate starredIn P1668 FINISHED
Object Dark City E123975 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dark City | Statement: [Jennifer Connelly, starredIn, Dark City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dark City
Context triple: [Jennifer Connelly, starredIn, Dark City]
  • A. Dark City chosen
    Dark City is a 1998 neo-noir science fiction film known for its atmospheric visuals, philosophical themes about memory and identity, and cult following.
  • B. Murder City
    "Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
  • C. The City
    The City is a common nickname for Manhattan, the densely populated and iconic borough of New York City known for its skyscrapers, cultural landmarks, and role as a global financial and media hub.
  • D. Drag City
    Drag City is an independent American record label known for releasing influential indie, folk, and experimental music.
  • E. City of Souls
    City of Souls is the somber nickname for Colma, California, a small town famous for its vast cemeteries and far larger population of the dead than the living.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b90f91248190ace1534a51b82bdd completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c1d82c88190b418e2e2f050b563 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.